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Building a model to input valuesHi.

I'm not even sure this is the right place to ask, but here goes.

Right now I'm working with multiple regressions in JMP. I have Y as the abundance of bees in a certain area, and several X variables such a temperature, land use area, amount of flowers and so forth.

Right now I know the values of Y and X, and I'm trying to narrow the X variables down, so only 3-5 will remain as the significant variables determining bee-abundance.

Will I be able to, via JMP, to create a model where I'll be able to input new values and then get the corresponding Y (number of bees)? Say that I would like to examine the effect of a rise in temperature. I would like to be able to punch in the new temperature, and then get the new Y value. Sort of a prediction tool for bee abundance.

Hope this was clear enough.

Best Regards, BollRe: Building a model to input valuesOnce you have found the model that you think best fits your data you can choose "save columns/prediction formula" under the red triangle in the report (Fit Model platform).

A new column with the prediction formula for your model is created and if you add new rows and enter x values the corresponding Y-values is automatically calculated (however the model is not automatically re-fitted to the new data).